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research llm ai AI Skills

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GitHub

comfyui

pacphi

AI image and video generation using ComfyUI node-based workflow system with Stable Diffusion, FLUX, and other diffusion models via local or distributed GPU compute (Salad Cloud)

GitHub

docx

pacphi

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...

GitHub

mcp-builder

pacphi

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...

GitHub

pal-mcp-server

pacphi

AI orchestration and multi-model collaboration MCP server. Use when you need multi-model AI collaboration, code reviews, debugging assistance, planning, consensus building, or advanced reasoning across multiple...

GitHub

latex-documents

pacphi

Professional LaTeX document generation for papers, reports, books, and presentations. Multi-agent orchestration via claude-flow. Use UK English spelling throughout.

GitHub

research-web

doodledood

Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional...

GitHub

apply-prompt-feedback

doodledood

Applies user feedback to prompts with precision - incorporates feedback intent without over-fitting, maintains information density, prevents regressions. Use when asked to apply feedback, incorporate suggestion...

GitHub

optimize-prompt-precision

doodledood

Iteratively optimizes prompts for precision - eliminates ambiguities, resolves conflicts, adds missing definitions. Use when asked to optimize precision, clarify, disambiguate, or make a prompt unambiguous.

GitHub

implement-inplace

doodledood

Single-agent implementation: executes plans in-place without subagents. Use /implement (default) for complex features; use this for simpler tasks or when subagent overhead is unwanted.

GitHub

optimize-prompt-goal

doodledood

Optimizes prompts for goal effectiveness - ensures instructions serve the stated goal, prevents missteps, improves efficiency. Use when asked to optimize a prompt for its goal, improve goal alignment, or make a...

GitHub

consultant

doodledood

Consults external AI models (100+ via LiteLLM) for complex analysis. Use for architectural review, security audit, deep code understanding, or when extended reasoning is needed. Runs async with session manageme...

GitHub

optimize-prompt-token-efficiency

doodledood

Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, sho...

GitHub

craft-author-voice

doodledood

Captures writing style/voice into AUTHOR_VOICE.md so AI can write like the user. Use when asked to match tone, write like me, replicate voice, or capture writing style for content generation.

GitHub

learn-from-session

doodledood

Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.

GitHub

ask-council

doodledood

Multi-model ensemble consultation. Runs 3 models in parallel for diverse perspectives.

GitHub

define-seo-strategy

doodledood

Create a comprehensive SEO_STRATEGY.md covering both traditional SEO and Generative Engine Optimization (GEO) for AI platforms. Requires CUSTOMER.md to exist first. Includes platform-specific tactics for Google...

GitHub

ask

doodledood

Single-model consultation using consultant agent. Defaults to gpt-5.2-pro.

GitHub

compress-prompt

doodledood

Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.

GitHub

hook-development

sjnims

This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven...

GitHub

skill-development

sjnims

This skill should be used when the user asks to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", "SKILL.md format", "skill frontmatter", "sk...

GitHub

command-development

sjnims

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command w...

GitHub

agent-development

sjnims

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomou...

GitHub

plugin-settings

sjnims

This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plu...

GitHub

mcp-integration

sjnims

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLU...

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